Anthropic's Claude Code feature, specifically the /goal command, now utilizes a separate, faster model, Haiku, to determine when a task is complete. This separation is necessary because larger language models exhibit a self-preference bias, scoring their own output too highly. The Haiku model acts as an independent evaluator, checking objective completion criteria set by the user against the transcript. This shift redefines the developer's role from directly prompting Claude to crafting these objective, verifiable stop conditions for the Haiku referee. AI
IMPACT This change reframes developer interaction with LLMs, shifting focus from direct prompting to defining objective completion criteria for independent evaluators.
RANK_REASON This describes a new feature and its implementation within an existing product, rather than a core model release or significant industry-wide event.
Read on dev.to — Claude Code tag →
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